Thiago Post

Why this persona fits the audience

Manages a small automation team at a Netherlands-based logistics platform. He is responsible for an AI assistant that helps customers track shipments, and he currently reviews real traces, labels failure cases in spreadsheets, and uses Python notebooks to replay conversations before releases.

• Age: 31
• Location: Amsterdam, Netherlands
• Occupation: Automation Lead
• Income: €87k
• Education: MSc Data Science
• Company size: Mid-sized (approx. 250 employees)
• Years in role: 3

“The real challenge isn't building the AI; it's ensuring it consistently does what we expect, especially when the unexpected happens.”

Thiago Post, 31, is an Automation Lead at a mid-sized logistics software company headquartered in the Netherlands. Holding an MSc in Data Science, he found his niche in the complex world of logistics technology, drawn by the intricate systems and the potential for data-driven optimization. His career path has been marked by a consistent drive for precision and efficiency, stemming from an early fascination with how systems work and how they can be improved. He manages a small, dedicated team responsible for the AI assistant that helps customers track their shipments. This role places him at the intersection of cutting-edge AI development and the practical demands of a fast-paced industry. His current work is heavily focused on the meticulous, often manual, process of ensuring the AI's reliability. He spends a significant portion of his week reviewing production traces, a critical but time-consuming task. He meticulously labels failure cases in spreadsheets, a process he finds increasingly cumbersome as the system scales. To gain deeper insights and prepare for releases, he frequently utilizes Python notebooks to replay conversations, simulating user interactions to identify and rectify potential issues. This hands-on approach reflects his deep commitment to understanding the system's behavior at a granular level. Thiago values his independence, preferring to work through problems methodically and systematically. He is not driven by status or external validation but by the intrinsic satisfaction of building robust, efficient systems. His income of €87k allows for a comfortable life in Amsterdam, where he rents a modern apartment, but he remains financially prudent, prioritizing long-term security. He sees his current role as a stepping stone towards developing more advanced, automated testing frameworks for AI agents, aiming to reduce the manual overhead that currently defines his daily grind. His decision to focus on improving these testing processes is a direct response to the inefficiencies he encounters, driven by a core belief in the power of process improvement.

Background & daily life

A day in their life

Thiago's typical weekday begins around 7:00 AM with a quick breakfast and checking industry news on his phone. He then cycles to his office, using the 30-minute ride to mentally prepare for the day. His mornings are usually dedicated to team stand-ups, reviewing critical AI performance metrics, and diving into the most complex failure cases identified overnight. After lunch, often a quick sandwich at his desk while reviewing code or documentation, he spends the afternoon either coding Python scripts to automate parts of his workflow, collaborating with his team on specific issues, or meticulously labeling data in spreadsheets. He leaves the office around 6:00 PM, cycles home, and might spend the evening working on a personal project, playing a board game, or preparing for his next day's tasks. He aims to be in bed by 11:00 PM.

Lifestyle

Thiago lives a structured but active life in Amsterdam. His days are typically packed, but he carves out time for his passions. He cycles everywhere, often using his commute to clear his head or plan his day. Evenings are a mix of focused work on personal projects, diving into complex board games with a small group of friends, or catching up on industry news. He values his independence and enjoys the quiet solitude his apartment provides, though he maintains a close-knit circle of friends. His financial habits are prudent, focusing on long-term stability rather than immediate gratification.

Work life

As an Automation Lead, Thiago's days are a constant balancing act between strategic oversight and hands-on problem-solving. He manages a small but highly skilled team focused on enhancing the AI assistant for shipment tracking. The core of his current work involves meticulously reviewing production traces, a task he finds both tedious and crucial. He dedicates significant time to labeling failure cases in spreadsheets, a process he’s actively seeking to streamline. He frequently uses Python notebooks to replay conversations, simulating user interactions to identify bugs and regressions before code is deployed. Coworkers describe him as reliable and deeply knowledgeable, though sometimes quiet in large meetings. The pressure to ensure the AI assistant's reliability is constant, as any misstep directly impacts customer experience and operational efficiency.

Relationships

Thiago maintains a small but strong circle of friends, primarily met through university or shared interests like board games and cycling. He has a good working relationship with his team, respecting their expertise and valuing their input, though he tends to keep professional interactions focused and efficient. His family lives in Portugal, and he visits them a few times a year, maintaining regular video calls in between.

How they decide

Thiago is highly analytical and research-driven when making decisions, especially concerning his work. He meticulously gathers data, evaluates multiple options, and often runs small-scale tests or simulations before committing to a path. He values evidence and logic over emotional appeals or peer pressure, preferring to understand the underlying mechanics of any proposed solution. He is not impulsive and will take time to consider the long-term implications of his choices.

How they sound

Speaks with a clear, measured cadence, often using precise technical language. His Dutch is fluent but carries a slight Portuguese accent. He avoids hyperbole and overly casual slang, preferring direct and factual communication. When explaining complex topics, he tends to break them down logically, step-by-step. He might pause to formulate his thoughts carefully before answering, especially when discussing abstract concepts or potential solutions.